Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing

Vehkapera, M.T., Kabashima, Y. and Chatterjee, S. (2016) Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. IEEE Transactions on Information Theory. ISSN 0018-9448

Abstract

Metadata

Authors/Creators:
  • Vehkapera, M.T.
  • Kabashima, Y.
  • Chatterjee, S.
Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Dates:
  • Accepted: 25 January 2016
  • Published: 4 February 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Feb 2016 12:56
Last Modified: 31 Mar 2018 17:00
Published Version: http://dx.doi.org/10.1109/TIT.2016.2525824
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/TIT.2016.2525824

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